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Amir Shaikhha
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2020 – today
- 2024
- [j13]Amir Shaikhha
, Dan Suciu
Optimizing Nested Recursive Queries. Proc. ACM Manag. Data 2(1): 16:1-16:27 (2024) - [c21]Amir Shaikhha, Mathieu Huot, Shideh Hashemian:
A Tensor Algebra Compiler for Sparse Differentiation. CGO 2024: 1-12 - [c20]Hesam Shahrokhi, Amirali Kaboli, Mahdi Ghorbani, Amir Shaikhha:
PyTond: Efficient Python Data Science on the Shoulders of Databases. ICDE 2024: 423-435 - [i19]Hesam Shahrokhi, Amirali Kaboli, Mahdi Ghorbani, Amir Shaikhha:
PyTond: Efficient Python Data Science on the Shoulders of Databases. CoRR abs/2407.11616 (2024) - [i18]Mahdi Ghorbani, Emilien Bauer, Tobias Grosser, Amir Shaikhha:
Compressing Structured Tensor Algebra. CoRR abs/2407.13726 (2024) - 2023
- [j12]Maximilian Schleich
Optimizing Tensor Programs on Flexible Storage. Proc. ACM Manag. Data 1(1): 37:1-37:27 (2023) - [j11]Mahdi Ghorbani
Compiling Structured Tensor Algebra. Proc. ACM Program. Lang. 7(OOPSLA2): 204-233 (2023) - [j10]Mahdi Ghorbani, Amir Shaikhha:
Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning. Proc. VLDB Endow. 16(12): 3970-3973 (2023) - [c19]Jingwen Pan, Amir Shaikhha:
Compiling Discrete Probabilistic Programs for Vectorized Exact Inference. CC 2023: 13-24 - [c18]Hesam Shahrokhi, Amir Shaikhha:
Building a Compiled Query Engine in Python. CC 2023: 180-190 - [c17]Amir Shaikhha, Marios Kelepeshis, Mahdi Ghorbani:
Fine-Tuning Data Structures for Query Processing. CGO 2023: 149-161 - [c16]Hesam Shahrokhi, Amir Shaikhha:
An Efficient Vectorized Hash Table for Batch Computations. ECOOP 2023: 27:1-27:27 - [c15]Amir Shaikhha, Mahdi Ghorbani, Hesam Shahrokhi:
Hinted Dictionaries: Efficient Functional Ordered Sets and Maps. ECOOP 2023: 28:1-28:30 - [c14]Hesam Shahrokhi
Efficient Query Processing in Python Using Compilation. SIGMOD Conference Companion 2023: 199-202 - [e2]Coen De Roover, Bernhard Rumpe, Amir Shaikhha:
Proceedings of the 22nd ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, GPCE 2023, Cascais, Portugal, October 22-23, 2023. ACM 2023 [contents] - [i17]Amir Shaikhha, Mathieu Huot, Shideh Hashemian:
∇SD: Differentiable Programming for Sparse Tensors. CoRR abs/2303.07030 (2023) - 2022
- [j9]Amir Shaikhha
Functional collection programming with semi-ring dictionaries. Proc. ACM Program. Lang. 6(OOPSLA1): 1-33 (2022) - [c13]Amir Shaikhha, Mahdi Ghorbani, Hesam Shahrokhi:
Hinted Dictionaries: Efficient Functional Ordered Sets and Maps (Extended Abstract). ECOOP 2022: 33:1-33:3 - [c12]Amir Shaikhha:
Deep Fusion for Efficient Nested Recursive Computations. GPCE 2022: 33-44 - [i16]Amir Shaikhha, Mahdi Ghorbani, Hesam Shahrokhi:
Hinted Dictionaries: Efficient Functional Ordered Sets and Maps. CoRR abs/2206.04380 (2022) - [i15]Maximilian Schleich, Amir Shaikhha, Dan Suciu
Optimizing Tensor Programs on Flexible Storage. CoRR abs/2210.06267 (2022) - [i14]Mahdi Ghorbani, Mathieu Huot, Shideh Hashemian, Amir Shaikhha:
Compiling Structured Tensor Algebra. CoRR abs/2211.10482 (2022) - [i13]Mathieu Huot, Amir Shaikhha:
Denotationally Correct, Purely Functional, Efficient Reverse-mode Automatic Differentiation. CoRR abs/2212.09801 (2022) - [i12]Amir Shaikhha, Mathieu Huot, Shabnam Ghasemirad
Efficient and Sound Differentiable Programming in a Functional Array-Processing Language. CoRR abs/2212.10307 (2022) - 2021
- [j8]Amir Shaikhha, Maximilian Schleich, Dan Olteanu:
An Intermediate Representation for Hybrid Database and Machine Learning Workloads. Proc. VLDB Endow. 14(12): 2831-2834 (2021) - [e1]Amir Shaikhha, Norman May:
DBPL '21: The 18th International Symposium on Database Programming Languages, Copenhagen, Denmark, 16 August 2021. ACM 2021, ISBN 978-1-4503-8646-3 [contents] - [i11]Amir Shaikhha, Mathieu Huot, Jaclyn Smith, Dan Olteanu:
Functional Collection Programming with Semi-Ring Dictionaries. CoRR abs/2103.06376 (2021) - [i10]Amir Shaikhha, Marios Kelepeshis, Mahdi Ghorbani:
Fine-Tuning Data Structures for Analytical Query Processing. CoRR abs/2112.13099 (2021) - 2020
- [j7]Jaclyn Smith, Michael Benedikt, Milos Nikolic, Amir Shaikhha:
Scalable Querying of Nested Data. Proc. VLDB Endow. 14(3): 445-457 (2020) - [j6]Amir Shaikhha, Mohammed Elseidy, Stephan Mihaila, Daniel Espino, Christoph Koch:
Synthesis of Incremental Linear Algebra Programs. ACM Trans. Database Syst. 45(3): 12:1-12:44 (2020) - [c11]Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu:
Multi-layer optimizations for end-to-end data analytics. CGO 2020: 145-157 - [c10]Lionel Parreaux
Multi-stage programming in the large with staged classes. GPCE 2020: 35-49 - [i9]Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu:
Multi-layer Optimizations for End-to-End Data Analytics. CoRR abs/2001.03541 (2020) - [i8]Jaclyn Smith, Michael Benedikt, Milos Nikolic, Amir Shaikhha:
Scalable Querying of Nested Data. CoRR abs/2011.06381 (2020) - [i7]Ziniu Wu, Amir Shaikhha:
BayesCard: A Unified Bayesian Framework for Cardinality Estimation. CoRR abs/2012.14743 (2020)
2010 – 2019
- 2019
- [j5]Amir Shaikhha, Andrew W. Fitzgibbon, Dimitrios Vytiniotis, Simon Peyton Jones:
Efficient differentiable programming in a functional array-processing language. Proc. ACM Program. Lang. 3(ICFP): 97:1-97:30 (2019) - [c9]Amir Shaikhha, Lionel Parreaux:
Finally, a Polymorphic Linear Algebra Language (Pearl). ECOOP 2019: 25:1-25:29 - [c8]Amir Shaikhha:
Polymorphic extractors for semantic and portable pattern matching (short paper). GPCE 2019: 61-67 - [c7]Amir Shaikhha, Vojin Jovanovic, Christoph E. Koch:
Compiler generation for performance-oriented embedded DSLs (short paper). GPCE 2019: 94-101 - 2018
- [b1]Amir Shaikhha:
Compilation and Code Optimization for Data Analytics. EPFL, Switzerland, 2018 - [j4]Amir Shaikhha, Mohammad Dashti, Christoph Koch:
Push versus pull-based loop fusion in query engines. J. Funct. Program. 28: e10 (2018) - [j3]Lionel Parreaux, Antoine Voizard, Amir Shaikhha, Christoph E. Koch:
Unifying analytic and statically-typed quasiquotes. Proc. ACM Program. Lang. 2(POPL): 13:1-13:33 (2018) - [j2]Amir Shaikhha, Yannis Klonatos, Christoph Koch:
Building Efficient Query Engines in a High-Level Language. ACM Trans. Database Syst. 43(1): 4:1-4:45 (2018) - [i6]Amir Shaikhha, Andrew W. Fitzgibbon, Dimitrios Vytiniotis, Simon Peyton Jones, Christoph Koch:
Efficient Differentiable Programming in a Functional Array-Processing Language. CoRR abs/1806.02136 (2018) - [i5]Mohammad Dashti, Sachin Basil John, Thierry Coppey, Amir Shaikhha, Vojin Jovanovic, Christoph Koch:
Compiling Database Application Programs. CoRR abs/1807.09887 (2018) - [i4]Amir Shaikhha, Vojin Jovanovic, Christoph Koch:
A Compiler-Compiler for DSL Embedding. CoRR abs/1808.01344 (2018) - 2017
- [c6]Lionel Parreaux, Amir Shaikhha, Christoph E. Koch:
Quoted staged rewriting: a practical approach to library-defined optimizations. GPCE 2017: 131-145 - [c5]Amir Shaikhha, Andrew W. Fitzgibbon, Simon Peyton Jones, Dimitrios Vytiniotis:
Destination-passing style for efficient memory management. FHPC@ICFP 2017: 12-23 - [c4]Lionel Parreaux, Amir Shaikhha, Christoph E. Koch:
Squid: type-safe, hygienic, and reusable quasiquotes. SCALA@SPLASH 2017: 56-66 - [c3]Mohammad Dashti, Sachin Basil John
Transaction Repair for Multi-Version Concurrency Control. SIGMOD Conference 2017: 235-250 - 2016
- [c2]Amir Shaikhha, Yannis Klonatos, Lionel Parreaux, Lewis Brown, Mohammad Dashti, Christoph Koch:
How to Architect a Query Compiler. SIGMOD Conference 2016: 1907-1922 - [i3]Mohammad Dashti, Sachin Basil John, Amir Shaikhha, Christoph Koch:
Repairing Conflicts among MVCC Transactions. CoRR abs/1603.00542 (2016) - [i2]Amir Shaikhha, Mohammad Dashti, Christoph Koch:
Push vs. Pull-Based Loop Fusion in Query Engines. CoRR abs/1610.09166 (2016) - [i1]Amir Shaikhha, Yannis Klonatos, Christoph Koch:
Building Efficient Query Engines in a High-Level Language. CoRR abs/1612.05566 (2016) - 2014
- [j1]Christoph Koch, Yanif Ahmad, Oliver Kennedy, Milos Nikolic, Andres Nötzli
DBToaster: higher-order delta processing for dynamic, frequently fresh views. VLDB J. 23(2): 253-278 (2014) - [c1]Vojin Jovanovic, Amir Shaikhha, Sandro Stucki
Yin-yang: concealing the deep embedding of DSLs. GPCE 2014: 73-82
Coauthor Index
aka: Christoph E. Koch
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last updated on 2024-08-25 19:05 CEST by the dblp team
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